AI agents are rapidly changing how we build software, analyze data, and solve complex problems. But how do we ensure these systems are reliable, responsibly governed, and ready for production?
Join us for an engaging Community of Practice featuring Dr. Tianyi Zhang, Assistant Professor of Computer Science at Purdue University. Dr. Zhang’s research focuses on software engineering, coding agents, AI-assisted development, and agentic workflows. He will introduce the concept of an AI Harness and explore how organizations can move beyond prompts and experiments to build robust AI systems that combine models, tools, evaluation, governance, and human oversight.
Topics Include:
• What is an AI Harness?
• Moving from experimentation to operational AI systems
• Lessons learned from emerging agentic AI initiatives
Whether you’re working in industry, education, healthcare, government, or simply exploring AI adoption, join us for a practical discussion on the future of intelligent systems and what it takes to make AI responsibly work at scale.
